4 papers
Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping
Kenji Koide, Masashi Yokozuka, Shuji Oishi +1
This paper presents a real-time 3D mapping framework based on global matching cost minimization and LiDAR-IMU tight coupling. The proposed framework comprises a preprocessing modul…
Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry
Kenji Koide, Masashi Yokozuka, Shuji Oishi +1
This study proposes an adaptive data-driven hyperparameter tuning framework for black-box 3D LiDAR odometry algorithms. The proposed framework comprises offline parameter-error fun…
4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping
Shuji Oishi, Kenji Koide, Masashi Yokozuka +1
This study presents a framework for capturing human attention in the spatio-temporal domain using eye-tracking glasses. Attention mapping is a key technology for human perceptual a…
LiTAMIN2: Ultra Light LiDAR-based SLAM using Geometric Approximation applied with KL-Divergence
Masashi Yokozuka, Kenji Koide, Shuji Oishi +1
In this paper, a three-dimensional light detection and ranging simultaneous localization and mapping (SLAM) method is proposed that is available for tracking and mapping with 500--…